Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/131322
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Consensus tracking control of switched stochastic nonlinear multiagent systems via event-triggered strategy
Author: Zou, W.
Shi, P.
Xiang, Z.
Shi, Y.
Citation: IEEE Transactions on Neural Networks and Learning Systems, 2020; 31(3):1036-1045
Publisher: IEEE
Issue Date: 2020
ISSN: 2162-237X
2162-2388
Statement of
Responsibility: 
Wencheng Zou, Peng Shi, Zhengrong Xiang, Yan Shi
Abstract: In this paper, the consensus tracking problem is investigated for a class of continuous switched stochastic nonlinear multiagent systems with an event-triggered control strategy. For continuous stochastic multiagent systems via event-triggered protocols, it is rather difficult to avoid the Zeno behavior by the existing methods. Thus, we propose a new protocol design framework for the underlying systems. It is proven that follower agents can almost surely track the given leader signal with bounded errors and no agent exhibits the Zeno behavior by the given control scheme. Finally, two numerical examples are given to illustrate the effectiveness and advantages of the new design techniques.
Rights: © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission
DOI: 10.1109/TNNLS.2019.2917137
Grant ID: http://purl.org/au-research/grants/arc/DP170102644.
Published version: http://dx.doi.org/10.1109/tnnls.2019.2917137
Appears in Collections:Aurora harvest 8
Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.